AI-Powered Engagement & Impact Campaign for LumeSmart Earth Day 2026

About the Project: LumeSmart Earth Day is more than an event — it's a platform for driving climate action, connecting communities, and showcasing cleantech innovation. As we prepare for Earth Day 2026 , we want to launch a creative engagement campaign that uses AI tools to boost visibility, personalize outreach, and measure real impact . This project invites learners to design and simulate an end-to-end digital campaign powered by AI — targeting students, businesses, local communities, and environmental leaders across Canada and globally. Project Objective: Design an AI-enhanced engagement and awareness campaign for Earth Day 2026 that: Builds momentum before the event Increases attendee interaction during the event Measures and reports climate or social impact afterward

Revenue & Sponsorship Strategy for LumeSmart Earth Day 2026

About the Project: LumeSmart Earth Day is an established, independently-led sustainability conference and trade show, celebrating over a decade of impact in Canada’s cleantech and environmental sectors. As we look ahead to Earth Day 2026 , our goal is to design a creative, community-centered, and revenue-sustainable event that attracts cleantech leaders, youth, educators, startups, and civic partners. This project invites learners to build a comprehensive strategy and sales plan for LumeSmart Earth Day 2026, with a strong focus on: Revenue generation Creative sponsorship models Modern event elements that can elevate visibility, participation, and financial stability Project Objective: Develop a revenue and sales strategy for LumeSmart Earth Day 2026 by: Analyzing our past approach and market trends Proposing creative revenue streams (e.g., AI booths, virtual access passes, eco-product pop-ups) Updating our sponsorship/exhibitor packages Building a target list and outreach plan

AI-Integrated Business Strategy for Expanding LumeSmart Earth Day

About the Project: LumeSmart Earth Day is a decade-strong sustainability conference and trade show that connects clean technology leaders, civic partners, and youth to drive environmental action. As we plan for our next phase of growth, we want to explore how AI tools can enhance our business strategy — from outreach and sales to content and operations. This project invites learners to apply their knowledge of AI tools in business , and help us create a targeted strategic growth plan supported by real AI use cases. Rather than build tools from scratch, students will use existing AI technologies to identify, simulate, or test business enhancements for the conference. Project Objective: Develop a focused business growth strategy for LumeSmart Earth Day with 1–2 AI-powered applications that strengthen event operations, marketing, or sponsorship development.

AI-Powered Lighting Advisor for Greenhouses and Vertical Farming

About the Project: LumeSmart Inc. is a woman-owned Canadian cleantech company founded in 2013. We specialize in LED lighting solutions for agricultural, commercial, and residential use. Our goal is to support sustainable local food production by helping growers — from greenhouses to vertical farms — access the right lighting systems for their crops. This project invites students to build a basic AI-powered tool that simulates how a grower might input simple information (e.g., crop type, square footage, growing environment), and receive a lighting recommendation output based on internal data we provide. This prototype will support LumeSmart’s sales and consulting process and will help us better engage customers interested in sustainable farming. Confidential Use Statement: This tool is intended for internal business use only at LumeSmart. It will be used to support customer recommendations, and the information it provides will be free only to clients who purchase our LED products . Students will work under a non-disclosure agreement (NDA) to protect proprietary data, and will be encouraged to focus on the technical logic and tool-building , not on business operations or product decisions. Objectives (Refocused and Clear): Build a prototype system or chatbot that accepts grower inputs (e.g., crop type, growing method, area size). Map these inputs to a structured logic or database (provided by LumeSmart) to generate simple lighting suggestions. Output results such as: “Recommended: LumeSmart X100, Qty: 12, Spectrum: Full Red/Blue” in a basic web form or chatbot. Ensure the tool structure can be scaled in the future with more crops or product types.